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Lead Intelligence Analyst

redhorse corporation Arlington, VA

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Ghost-risk verdict

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  • open for 110 days (90+ without a fill is a strong ghost signal)
  • 67 open roles at this company in 30 days (mass-hiring blitz)

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About the role

Key Responsibilities

Design and build investigative analytic workflows directly within GraphAware Hume in partnership with technical teams.

Translate real-world intelligence questions into structured graph queries, visualizations, and repeatable analytical playbooks.

Act as the primary voice of the intelligence user, distinguishing between perceived needs and actual operational requirements.

Validate system outputs against real-world operational scenarios to identify gaps in data representation or entity resolution.

Drive platform adoption through hands-on engagement, mentoring, and high-impact training for new and advanced users.

Ensure technical development remains anchored to mission outcomes, ensuring outputs are explainable and defensible.

Continuously refine system behavior based on analyst feedback and the evolving mission landscape.

Required Experience/Clearance

Active Top Secret / SCI eligibility is required.

10+ years of experience in all-source intelligence analysis within the DoD, IC, or federal law enforcement environments.

Demonstrated experience supporting operational or mission-critical decision-making under time pressure.

Proven ability to translate complex mission problems into structured technical requirements for engineering teams.

Deep understanding of intelligence tradecraft, analytical reasoning, and multi-source data fusion.

Experience working within Agile development cycles to deliver incremental mission value.

Willingness to travel up to 25% to support mission requirements and stakeholder engagements.

Strong preference for candidates located in or willing to travel to Hawaii, Miami, or Colorado.

Desired Experience

Direct experience using or configuring the GraphAware Hume platform.

Experience working in or alongside graph-based data environments (Neo4j, etc.).

Familiarity with data science concepts, including entity resolution and relationship extraction.

Experience developing and delivering training curricula for intelligence software or platforms.

Background in Design Thinking or Lean Startup methodologies.

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